£70.13

Springer - An Introduction to Sequential Monte Carlo Book

9783030478445

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Description

Master the fundamentals of Sequential Monte Carlo (SMC) methods with this comprehensive guide from Springer. Also known as particle filters, these methods are essential tools for the sequential analysis of data across many scientific disciplines. This book serves as a foundational resource for anyone looking to understand how to apply these algorithms to real-world problems. The text covers everything from the underlying mathematical theory to practical computational implementation. By presenting SMC algorithms within a general framework, the book helps readers build a deep understanding of the methodology. Whether you are working in signal processing, machine learning, or robotics, this resource provides the technical depth needed to navigate complex data environments. Designed for researchers and practitioners, the content spans diverse fields including epidemiology, population ecology, quantitative finance, and more. This book bridges the gap between theoretical concepts and practical application, making it a valuable addition to your technical library.

Key Features

https://tosheroon.com/uk/B07T3H8Y12

Detailed transition from theoretical foundations to practical computational implementation and methodology.

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Unified framework approach that describes SMC algorithms as specific cases of a general system.

Versatile scientific utility for researchers in fields such as epidemiology and population ecology.

Product Specifications

Format
hardcover
Domain
Amazon UK
Publication Date
02 October 2020
Listed Since
09 April 2020

Barcode

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